Dataset statistics
| Number of variables | 18 |
|---|---|
| Number of observations | 4000 |
| Missing cells | 7345 |
| Missing cells (%) | 10.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 550.9 KiB |
| Average record size in memory | 141.0 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 7 |
| DateTime | 1 |
Warnings
prev_call_duration is highly correlated with subs_deposit | High correlation |
subs_deposit is highly correlated with prev_call_duration | High correlation |
contact_month is highly correlated with contact_week | High correlation |
contact_week is highly correlated with contact_month | High correlation |
prev_call_duration is highly correlated with subs_deposit | High correlation |
subs_deposit is highly correlated with prev_call_duration | High correlation |
contact_month is highly correlated with contact_week | High correlation |
contact_week is highly correlated with contact_month | High correlation |
contact_month is highly correlated with contact_week | High correlation |
contact_week is highly correlated with contact_month | High correlation |
contact_weekday is highly correlated with contact_date and 4 other fields | High correlation |
subs_deposit is highly correlated with prev_call_duration and 2 other fields | High correlation |
prev_call_duration is highly correlated with subs_deposit | High correlation |
cpi is highly correlated with subs_deposit and 4 other fields | High correlation |
contact_date is highly correlated with contact_weekday and 5 other fields | High correlation |
job is highly correlated with education | High correlation |
poutcome is highly correlated with subs_deposit | High correlation |
education is highly correlated with job | High correlation |
contact_day is highly correlated with contact_weekday and 4 other fields | High correlation |
contact_month is highly correlated with contact_weekday and 3 other fields | High correlation |
client_id is highly correlated with contact_weekday and 5 other fields | High correlation |
contact_week is highly correlated with contact_weekday and 5 other fields | High correlation |
education has 176 (4.4%) missing values | Missing |
has_housing_loan has 92 (2.3%) missing values | Missing |
has_personal_loan has 92 (2.3%) missing values | Missing |
prev_call_duration has 79 (2.0%) missing values | Missing |
days_since_last_call has 3614 (90.3%) missing values | Missing |
poutcome has 3219 (80.5%) missing values | Missing |
cpi has 65 (1.6%) missing values | Missing |
client_id has unique values | Unique |
num_contacts_prev has 3219 (80.5%) zeros | Zeros |
Reproduction
| Analysis started | 2022-04-14 00:16:43.198042 |
|---|---|
| Analysis finished | 2022-04-14 00:23:08.952349 |
| Duration | 6 minutes and 25.75 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 4000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22430.64275 |
| Minimum | 17 |
|---|---|
| Maximum | 41186 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 17 |
|---|---|
| 5-th percentile | 2543.9 |
| Q1 | 12408.25 |
| median | 23336.5 |
| Q3 | 32990 |
| 95-th percentile | 39701.3 |
| Maximum | 41186 |
| Range | 41169 |
| Interquartile range (IQR) | 20581.75 |
Descriptive statistics
| Standard deviation | 12052.91754 |
|---|---|
| Coefficient of variation (CV) | 0.5373416034 |
| Kurtosis | -1.20571 |
| Mean | 22430.64275 |
| Median Absolute Deviation (MAD) | 10169 |
| Skewness | -0.1650511913 |
| Sum | 89722571 |
| Variance | 145272821.2 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 41020 | 1 | < 0.1% |
| 1527 | 1 | < 0.1% |
| 22819 | 1 | < 0.1% |
| 27600 | 1 | < 0.1% |
| 37245 | 1 | < 0.1% |
| 22628 | 1 | < 0.1% |
| 28759 | 1 | < 0.1% |
| 33035 | 1 | < 0.1% |
| 22012 | 1 | < 0.1% |
| 35763 | 1 | < 0.1% |
| Other values (3990) | 3990 |
| Value | Count | Frequency (%) |
| 17 | 1 | |
| 53 | 1 | |
| 68 | 1 | |
| 88 | 1 | |
| 101 | 1 | |
| 115 | 1 | |
| 139 | 1 | |
| 180 | 1 | |
| 192 | 1 | |
| 238 | 1 |
| Value | Count | Frequency (%) |
| 41186 | 1 | |
| 41185 | 1 | |
| 41181 | 1 | |
| 41167 | 1 | |
| 41163 | 1 | |
| 41148 | 1 | |
| 41133 | 1 | |
| 41131 | 1 | |
| 41118 | 1 | |
| 41103 | 1 |
age_bracket
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| 2 | |
|---|---|
| 3 | |
| 1 | 148 |
| 4 | 147 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4000 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 4 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 2161 | |
| 3 | 1544 | |
| 1 | 148 | 3.7% |
| 4 | 147 | 3.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2 | 2161 | |
| 3 | 1544 | |
| 1 | 148 | 3.7% |
| 4 | 147 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 2161 | |
| 3 | 1544 | |
| 1 | 148 | 3.7% |
| 4 | 147 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 2161 | |
| 3 | 1544 | |
| 1 | 148 | 3.7% |
| 4 | 147 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 2161 | |
| 3 | 1544 | |
| 1 | 148 | 3.7% |
| 4 | 147 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 2161 | |
| 3 | 1544 | |
| 1 | 148 | 3.7% |
| 4 | 147 | 3.7% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.37675 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.309684632 |
|---|---|
| Coefficient of variation (CV) | 0.6839963372 |
| Kurtosis | -1.353254455 |
| Mean | 3.37675 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.4239568658 |
| Sum | 13507 |
| Variance | 5.334643098 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 1366 | |
| 7 | 769 | |
| 2 | 640 | |
| 5 | 503 | 12.6% |
| 4 | 455 | 11.4% |
| 3 | 153 | 3.8% |
| 6 | 114 | 2.9% |
| Value | Count | Frequency (%) |
| 1 | 1366 | |
| 2 | 640 | |
| 3 | 153 | 3.8% |
| 4 | 455 | 11.4% |
| 5 | 503 | 12.6% |
| 6 | 114 | 2.9% |
| 7 | 769 |
| Value | Count | Frequency (%) |
| 7 | 769 | |
| 6 | 114 | 2.9% |
| 5 | 503 | 12.6% |
| 4 | 455 | 11.4% |
| 3 | 153 | 3.8% |
| 2 | 640 | |
| 1 | 1366 |
marital
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 8 |
| Missing (%) | 0.2% |
| Memory size | 31.4 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 11976 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3.0 |
|---|---|
| 2nd row | 3.0 |
| 3rd row | 1.0 |
| 4th row | 2.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 2374 | |
| 2.0 | 1176 | |
| 3.0 | 442 | 11.1% |
| (Missing) | 8 | 0.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 2374 | |
| 2.0 | 1176 | |
| 3.0 | 442 | 11.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 3992 | |
| 0 | 3992 | |
| 1 | 2374 | |
| 2 | 1176 | 9.8% |
| 3 | 442 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7984 | |
| Other Punctuation | 3992 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3992 | |
| 1 | 2374 | |
| 2 | 1176 | 14.7% |
| 3 | 442 | 5.5% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3992 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 11976 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 3992 | |
| 0 | 3992 | |
| 1 | 2374 | |
| 2 | 1176 | 9.8% |
| 3 | 442 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11976 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 3992 | |
| 0 | 3992 | |
| 1 | 2374 | |
| 2 | 1176 | 9.8% |
| 3 | 442 | 3.7% |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 176 |
| Missing (%) | 4.4% |
| Memory size | 31.4 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 | |
| 4.0 | |
| 6.0 | 4 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 11472 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 2.0 |
| 3rd row | 1.0 |
| 4th row | 3.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1274 | |
| 2.0 | 1114 | |
| 3.0 | 908 | |
| 4.0 | 524 | |
| 6.0 | 4 | 0.1% |
| (Missing) | 176 | 4.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 1274 | |
| 2.0 | 1114 | |
| 3.0 | 908 | |
| 4.0 | 524 | |
| 6.0 | 4 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 3824 | |
| 0 | 3824 | |
| 1 | 1274 | 11.1% |
| 2 | 1114 | 9.7% |
| 3 | 908 | 7.9% |
| 4 | 524 | 4.6% |
| 6 | 4 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7648 | |
| Other Punctuation | 3824 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3824 | |
| 1 | 1274 | 16.7% |
| 2 | 1114 | 14.6% |
| 3 | 908 | 11.9% |
| 4 | 524 | 6.9% |
| 6 | 4 | 0.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3824 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 11472 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 3824 | |
| 0 | 3824 | |
| 1 | 1274 | 11.1% |
| 2 | 1114 | 9.7% |
| 3 | 908 | 7.9% |
| 4 | 524 | 4.6% |
| 6 | 4 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11472 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 3824 | |
| 0 | 3824 | |
| 1 | 1274 | 11.1% |
| 2 | 1114 | 9.7% |
| 3 | 908 | 7.9% |
| 4 | 524 | 4.6% |
| 6 | 4 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 92 |
| Missing (%) | 2.3% |
| Memory size | 31.4 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 11724 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 2115 | |
| 0.0 | 1793 | |
| (Missing) | 92 | 2.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 2115 | |
| 0.0 | 1793 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5701 | |
| . | 3908 | |
| 1 | 2115 | 18.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7816 | |
| Other Punctuation | 3908 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 5701 | |
| 1 | 2115 | 27.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3908 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 11724 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 5701 | |
| . | 3908 | |
| 1 | 2115 | 18.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11724 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 5701 | |
| . | 3908 | |
| 1 | 2115 | 18.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 92 |
| Missing (%) | 2.3% |
| Memory size | 31.4 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 11724 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 3335 | |
| 1.0 | 573 | 14.3% |
| (Missing) | 92 | 2.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 3335 | |
| 1.0 | 573 | 14.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 7243 | |
| . | 3908 | |
| 1 | 573 | 4.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7816 | |
| Other Punctuation | 3908 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 7243 | |
| 1 | 573 | 7.3% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3908 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 11724 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 7243 | |
| . | 3908 | |
| 1 | 573 | 4.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11724 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 7243 | |
| . | 3908 | |
| 1 | 573 | 4.9% |
| Distinct | 958 |
|---|---|
| Distinct (%) | 24.4% |
| Missing | 79 |
| Missing (%) | 2.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 325.2152512 |
| Minimum | 2 |
|---|---|
| Maximum | 1337 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 128 |
| median | 231 |
| Q3 | 439 |
| 95-th percentile | 930 |
| Maximum | 1337 |
| Range | 1335 |
| Interquartile range (IQR) | 311 |
Descriptive statistics
| Standard deviation | 274.3571105 |
|---|---|
| Coefficient of variation (CV) | 0.8436169873 |
| Kurtosis | 1.448722397 |
| Mean | 325.2152512 |
| Median Absolute Deviation (MAD) | 128 |
| Skewness | 1.392681103 |
| Sum | 1275169 |
| Variance | 75271.82406 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 72 | 20 | 0.5% |
| 164 | 19 | 0.5% |
| 131 | 19 | 0.5% |
| 159 | 19 | 0.5% |
| 165 | 19 | 0.5% |
| 157 | 18 | 0.4% |
| 76 | 17 | 0.4% |
| 156 | 17 | 0.4% |
| 187 | 16 | 0.4% |
| 161 | 16 | 0.4% |
| Other values (948) | 3741 | |
| (Missing) | 79 | 2.0% |
| Value | Count | Frequency (%) |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 4 | 4 | |
| 5 | 2 | 0.1% |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 1 | < 0.1% |
| 10 | 4 | |
| 11 | 3 |
| Value | Count | Frequency (%) |
| 1337 | 1 | |
| 1336 | 1 | |
| 1329 | 2 | |
| 1328 | 1 | |
| 1327 | 1 | |
| 1321 | 2 | |
| 1319 | 1 | |
| 1317 | 1 | |
| 1313 | 1 | |
| 1309 | 1 |
| Distinct | 23 |
|---|---|
| Distinct (%) | 6.0% |
| Missing | 3614 |
| Missing (%) | 90.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.743523316 |
| Minimum | 0 |
|---|---|
| Maximum | 27 |
| Zeros | 5 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 6 |
| Q3 | 6 |
| 95-th percentile | 13 |
| Maximum | 27 |
| Range | 27 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.782258244 |
|---|---|
| Coefficient of variation (CV) | 0.6585257926 |
| Kurtosis | 6.758593188 |
| Mean | 5.743523316 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 2.100211124 |
| Sum | 2217 |
| Variance | 14.30547742 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 3 | 119 | 3.0% |
| 6 | 118 | 2.9% |
| 4 | 27 | 0.7% |
| 5 | 16 | 0.4% |
| 2 | 14 | 0.4% |
| 10 | 13 | 0.3% |
| 7 | 12 | 0.3% |
| 12 | 9 | 0.2% |
| 11 | 9 | 0.2% |
| 9 | 9 | 0.2% |
| Other values (13) | 40 | 1.0% |
| (Missing) | 3614 |
| Value | Count | Frequency (%) |
| 0 | 5 | 0.1% |
| 1 | 6 | 0.1% |
| 2 | 14 | 0.4% |
| 3 | 119 | |
| 4 | 27 | 0.7% |
| 5 | 16 | 0.4% |
| 6 | 118 | |
| 7 | 12 | 0.3% |
| 8 | 5 | 0.1% |
| 9 | 9 | 0.2% |
| Value | Count | Frequency (%) |
| 27 | 1 | < 0.1% |
| 26 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 22 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 16 | 3 | 0.1% |
| 15 | 3 | 0.1% |
| 14 | 4 | |
| 13 | 8 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.272 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 3219 |
| Zeros (%) | 80.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.643132494 |
|---|---|
| Coefficient of variation (CV) | 2.364457699 |
| Kurtosis | 11.57486418 |
| Mean | 0.272 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.035775148 |
| Sum | 1088 |
| Variance | 0.4136194049 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 3219 | |
| 1 | 567 | 14.2% |
| 2 | 144 | 3.6% |
| 3 | 54 | 1.4% |
| 4 | 10 | 0.2% |
| 5 | 5 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 3219 | |
| 1 | 567 | 14.2% |
| 2 | 144 | 3.6% |
| 3 | 54 | 1.4% |
| 4 | 10 | 0.2% |
| 5 | 5 | 0.1% |
| 6 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 1 | < 0.1% |
| 5 | 5 | 0.1% |
| 4 | 10 | 0.2% |
| 3 | 54 | 1.4% |
| 2 | 144 | 3.6% |
| 1 | 567 | 14.2% |
| 0 | 3219 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 3219 |
| Missing (%) | 80.5% |
| Memory size | 31.4 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2343 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 419 | 10.5% |
| 1.0 | 362 | 9.0% |
| (Missing) | 3219 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 419 | |
| 1.0 | 362 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1200 | |
| . | 781 | |
| 1 | 362 | 15.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1562 | |
| Other Punctuation | 781 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1200 | |
| 1 | 362 | 23.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 781 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2343 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1200 | |
| . | 781 | |
| 1 | 362 | 15.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2343 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1200 | |
| . | 781 | |
| 1 | 362 | 15.5% |
| Distinct | 50 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| Minimum | 2018-01-03 00:00:00 |
|---|---|
| Maximum | 2018-07-12 00:00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 23 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 65 |
| Missing (%) | 1.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.48446302 |
| Minimum | 92.201 |
|---|---|
| Maximum | 94.465 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.431 |
| Q1 | 92.963 |
| median | 93.444 |
| Q3 | 93.994 |
| 95-th percentile | 94.465 |
| Maximum | 94.465 |
| Range | 2.264 |
| Interquartile range (IQR) | 1.031 |
Descriptive statistics
| Standard deviation | 0.612562774 |
|---|---|
| Coefficient of variation (CV) | 0.006552562364 |
| Kurtosis | -0.9492400297 |
| Mean | 93.48446302 |
| Median Absolute Deviation (MAD) | 0.55 |
| Skewness | -0.1903496866 |
| Sum | 367861.362 |
| Variance | 0.3752331521 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 93.994 | 559 | |
| 93.918 | 546 | |
| 92.893 | 520 | |
| 93.444 | 411 | |
| 94.465 | 354 | |
| 93.2 | 304 | |
| 93.075 | 290 | |
| 92.201 | 134 | 3.4% |
| 92.963 | 114 | 2.9% |
| 92.431 | 82 | 2.1% |
| Other values (13) | 621 |
| Value | Count | Frequency (%) |
| 92.201 | 134 | 3.4% |
| 92.379 | 45 | 1.1% |
| 92.431 | 82 | 2.1% |
| 92.469 | 36 | 0.9% |
| 92.649 | 67 | 1.7% |
| 92.713 | 31 | 0.8% |
| 92.843 | 50 | 1.2% |
| 92.893 | 520 | |
| 92.963 | 114 | 2.9% |
| 93.075 | 290 |
| Value | Count | Frequency (%) |
| 94.465 | 354 | |
| 94.215 | 74 | 1.8% |
| 94.199 | 57 | 1.4% |
| 94.055 | 45 | 1.1% |
| 94.027 | 54 | 1.4% |
| 93.994 | 559 | |
| 93.918 | 546 | |
| 93.876 | 48 | 1.2% |
| 93.798 | 19 | 0.5% |
| 93.749 | 35 | 0.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.4 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2410 | |
| 1 | 1590 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.87125 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.006160414 |
|---|---|
| Coefficient of variation (CV) | 0.5182203201 |
| Kurtosis | -1.259541467 |
| Mean | 3.87125 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.108145447 |
| Sum | 15485 |
| Variance | 4.024679607 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 719 | |
| 4 | 599 | |
| 1 | 587 | |
| 7 | 546 | |
| 5 | 528 | |
| 6 | 513 | |
| 3 | 508 |
| Value | Count | Frequency (%) |
| 1 | 587 | |
| 2 | 719 | |
| 3 | 508 | |
| 4 | 599 | |
| 5 | 528 | |
| 6 | 513 | |
| 7 | 546 |
| Value | Count | Frequency (%) |
| 7 | 546 | |
| 6 | 513 | |
| 5 | 528 | |
| 4 | 599 | |
| 3 | 508 | |
| 2 | 719 | |
| 1 | 587 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.69575 |
| Minimum | 3 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 5 |
| median | 6 |
| Q3 | 8 |
| 95-th percentile | 11 |
| Maximum | 12 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.163758859 |
|---|---|
| Coefficient of variation (CV) | 0.3231540692 |
| Kurtosis | -0.3858109536 |
| Mean | 6.69575 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.6494946333 |
| Sum | 26783 |
| Variance | 4.681852401 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 5 | 1127 | |
| 7 | 656 | |
| 8 | 599 | |
| 6 | 513 | |
| 11 | 396 | 9.9% |
| 4 | 325 | 8.1% |
| 10 | 141 | 3.5% |
| 3 | 110 | 2.8% |
| 9 | 102 | 2.5% |
| 12 | 31 | 0.8% |
| Value | Count | Frequency (%) |
| 3 | 110 | 2.8% |
| 4 | 325 | 8.1% |
| 5 | 1127 | |
| 6 | 513 | |
| 7 | 656 | |
| 8 | 599 | |
| 9 | 102 | 2.5% |
| 10 | 141 | 3.5% |
| 11 | 396 | 9.9% |
| 12 | 31 | 0.8% |
| Value | Count | Frequency (%) |
| 12 | 31 | 0.8% |
| 11 | 396 | 9.9% |
| 10 | 141 | 3.5% |
| 9 | 102 | 2.5% |
| 8 | 599 | |
| 7 | 656 | |
| 6 | 513 | |
| 5 | 1127 | |
| 4 | 325 | 8.1% |
| 3 | 110 | 2.8% |
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.76075 |
| Minimum | 1 |
|---|---|
| Maximum | 28 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 19.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 14 |
| Q3 | 23 |
| 95-th percentile | 27 |
| Maximum | 28 |
| Range | 27 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 8.62934678 |
|---|---|
| Coefficient of variation (CV) | 0.6270985796 |
| Kurtosis | -1.246539989 |
| Mean | 13.76075 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.1200698391 |
| Sum | 55043 |
| Variance | 74.46562584 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 6 | 633 | |
| 14 | 534 | |
| 10 | 461 | |
| 27 | 442 | |
| 23 | 392 | |
| 1 | 356 | |
| 19 | 293 | |
| 18 | 235 | 5.9% |
| 2 | 231 | 5.8% |
| 28 | 104 | 2.6% |
| Other values (6) | 319 |
| Value | Count | Frequency (%) |
| 1 | 356 | |
| 2 | 231 | 5.8% |
| 5 | 86 | 2.1% |
| 6 | 633 | |
| 9 | 35 | 0.9% |
| 10 | 461 | |
| 11 | 12 | 0.3% |
| 14 | 534 | |
| 15 | 65 | 1.6% |
| 18 | 235 | 5.9% |
| Value | Count | Frequency (%) |
| 28 | 104 | 2.6% |
| 27 | 442 | |
| 24 | 84 | 2.1% |
| 23 | 392 | |
| 22 | 37 | 0.9% |
| 19 | 293 | |
| 18 | 235 | |
| 15 | 65 | 1.6% |
| 14 | 534 | |
| 11 | 12 | 0.3% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.8255 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 31.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.946534613 |
|---|---|
| Coefficient of variation (CV) | 0.5088314241 |
| Kurtosis | -1.014293628 |
| Mean | 3.8255 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.1061946803 |
| Sum | 15302 |
| Variance | 3.788996999 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 938 | |
| 4 | 917 | |
| 5 | 775 | |
| 3 | 531 | |
| 7 | 434 | |
| 6 | 345 | 8.6% |
| 2 | 60 | 1.5% |
| Value | Count | Frequency (%) |
| 1 | 938 | |
| 2 | 60 | 1.5% |
| 3 | 531 | |
| 4 | 917 | |
| 5 | 775 | |
| 6 | 345 | 8.6% |
| 7 | 434 |
| Value | Count | Frequency (%) |
| 7 | 434 | |
| 6 | 345 | 8.6% |
| 5 | 775 | |
| 4 | 917 | |
| 3 | 531 | |
| 2 | 60 | 1.5% |
| 1 | 938 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| client_id | age_bracket | job | marital | education | has_housing_loan | has_personal_loan | prev_call_duration | days_since_last_call | num_contacts_prev | poutcome | contact_date | cpi | subs_deposit | contact_month | contact_day | contact_week | contact_weekday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 41020 | 3 | 1 | 3.0 | 1.0 | 1.0 | 0.0 | 283.0 | 3.0 | 1 | 1.0 | 2018-07-09 | 92.379 | 1 | 7 | 9 | 28 | 1 |
| 1 | 23720 | 4 | 5 | 3.0 | 2.0 | 0.0 | 1.0 | 169.0 | 6.0 | 2 | 1.0 | 2018-05-07 | 94.215 | 1 | 5 | 7 | 19 | 1 |
| 2 | 29378 | 3 | 1 | 1.0 | 1.0 | 0.0 | 0.0 | 552.0 | NaN | 0 | NaN | 2018-01-08 | 93.444 | 1 | 1 | 8 | 2 | 1 |
| 3 | 36636 | 2 | 2 | 2.0 | 3.0 | 1.0 | 1.0 | 206.0 | NaN | 0 | NaN | 2018-02-11 | 93.200 | 0 | 2 | 11 | 6 | 7 |
| 4 | 38229 | 1 | 1 | 2.0 | 1.0 | 0.0 | 0.0 | 341.0 | NaN | 0 | NaN | 2018-04-04 | 93.075 | 1 | 4 | 4 | 14 | 3 |
| 5 | 27202 | 2 | 3 | 1.0 | 2.0 | 0.0 | 0.0 | 81.0 | NaN | 0 | NaN | 2018-06-08 | 93.444 | 0 | 6 | 8 | 23 | 5 |
| 6 | 1409 | 4 | 1 | 1.0 | 1.0 | 0.0 | 0.0 | 1076.0 | 6.0 | 1 | 1.0 | 2018-07-05 | 92.893 | 1 | 7 | 5 | 27 | 4 |
| 7 | 24379 | 3 | 5 | 1.0 | 3.0 | 0.0 | 0.0 | 133.0 | NaN | 0 | NaN | 2018-06-07 | 93.918 | 0 | 6 | 7 | 23 | 4 |
| 8 | 10036 | 2 | 7 | 1.0 | 2.0 | 0.0 | 0.0 | 253.0 | NaN | 1 | 0.0 | 2018-03-05 | 92.893 | 0 | 3 | 5 | 10 | 1 |
| 9 | 18115 | 3 | 3 | 1.0 | 1.0 | 0.0 | 0.0 | 467.0 | NaN | 0 | NaN | 2018-01-06 | 94.465 | 1 | 1 | 6 | 1 | 6 |
Last rows
| client_id | age_bracket | job | marital | education | has_housing_loan | has_personal_loan | prev_call_duration | days_since_last_call | num_contacts_prev | poutcome | contact_date | cpi | subs_deposit | contact_month | contact_day | contact_week | contact_weekday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3990 | 24211 | 2 | 7 | 1.0 | 3.0 | 1.0 | 0.0 | 159.0 | NaN | 0 | NaN | 2018-06-07 | 93.918 | 0 | 6 | 7 | 23 | 4 |
| 3991 | 28348 | 3 | 4 | 1.0 | 2.0 | 0.0 | 0.0 | 77.0 | NaN | 0 | NaN | 2018-07-08 | 93.444 | 0 | 7 | 8 | 27 | 7 |
| 3992 | 4739 | 2 | 7 | 1.0 | 4.0 | 1.0 | 0.0 | 418.0 | NaN | 0 | NaN | 2018-01-05 | 92.893 | 0 | 1 | 5 | 1 | 5 |
| 3993 | 2389 | 2 | 7 | 3.0 | 2.0 | 0.0 | 0.0 | 827.0 | NaN | 0 | NaN | 2018-07-05 | 92.893 | 1 | 7 | 5 | 27 | 4 |
| 3994 | 10248 | 2 | 2 | 2.0 | 2.0 | 1.0 | 0.0 | 13.0 | NaN | 0 | NaN | 2018-03-05 | 92.893 | 0 | 3 | 5 | 10 | 1 |
| 3995 | 7519 | 3 | 6 | 2.0 | 2.0 | 1.0 | 0.0 | 396.0 | NaN | 0 | NaN | 2018-02-05 | 92.893 | 1 | 2 | 5 | 6 | 1 |
| 3996 | 29822 | 3 | 1 | 1.0 | 1.0 | 1.0 | 0.0 | 115.0 | NaN | 0 | NaN | 2018-01-08 | 93.444 | 0 | 1 | 8 | 2 | 1 |
| 3997 | 24462 | 2 | 1 | 1.0 | 3.0 | 1.0 | 0.0 | 214.0 | NaN | 0 | NaN | 2018-06-07 | 93.918 | 0 | 6 | 7 | 23 | 4 |
| 3998 | 26089 | 2 | 4 | 1.0 | 2.0 | 1.0 | 0.0 | 76.0 | NaN | 0 | NaN | 2018-02-07 | 93.918 | 0 | 2 | 7 | 6 | 3 |
| 3999 | 40631 | 2 | 1 | 2.0 | 1.0 | 1.0 | 0.0 | 368.0 | NaN | 0 | NaN | 2018-04-09 | 92.379 | 0 | 4 | 9 | 15 | 1 |